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          <div id="banner-title" class='col-sm-6 col-xs-12'><span>Apache MXNet (Incubating)</span>
            <p id="landing-title">A flexible and efficient library for deep learning.</p>
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                    <a href="install/index.html" id="install_btn">Install</a>
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        <h3>MXNet 1.2.0.rc0 Released</h3>
        <p>We're excited to announce the release of MXNet 1.2.0.rc0! Check out the release notes for latest updates.</p>
        <a href="https://github.com/apache/incubator-mxnet/releases/tag/1.2.0.rc0">Learn More</a>
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        <h3>Improved ONNX Support</h3>
        <p>MXNet now supports importing ONNX models natively with the new ONNX-MXNet API. Try out the super resolution example, or a tutorial on fine-tuning an ONXX model with Gluon. 
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        <a href="api/python/contrib/onnx.html#onnx-tutorials">Learn More</a>
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          <h3>Introducing the Scala Inference API</h3>
          <p>A model loading and inference API is now available for Scala developers. Try out the examples for single shot detection and loading models for image classification.
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          <a href="api/scala/index.html">Learn More</a>
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          <h2>Gluon Model Zoo</h2>
          <p>One-click pre-trained models, included in Gluon. Fast implementations of many state-of-the-art models, for plug-and-play effortless use.</p>
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            <a id="model-zoo-link" href="api/python/gluon/model_zoo.html">Gluon model zoo</a>
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          <h2>Examples</h2>
          <p>Explore projects from simple demos, examples, tutorials to state-of-the-art research.</p>
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            <a id="example-link" href="https://github.com/dmlc/mxnet/tree/master/example">MXNet examples</a>
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          <h2>Tutorials</h2>
          <p>These tutorials introduce a few fundamental concepts in deep learning and how to implement them in MXNet.</p>
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